A Study on Multi-Colony Diploid Immune Algorithm and Its Application in Manufacture

Shu Bin Si; Shu Dong Sun; Pei Yong Hou; Jian Jun Yu

doi:10.4028/www.scientific.net/MSF.532-533.1056

Paper Titles

A CAS Approach for the Coordination and Optimization Problem in Supply Chains
p.1040

Prediction of Spring Back of the Two-Axle Rotary Shaping Based on Neural Network
p.1044

Research on Man-Machine Cooperation Manipulator and Information Integrated Technology in Advanced Manufacturing
p.1048

An Exploratory Study of Logistics Service Quality Model
p.1052

A Study on Multi-Colony Diploid Immune Algorithm and Its Application in Manufacture
p.1056

A Study on the Aviation Manufacture Cell Scheduling Based on Adaptive Ant Colony Algorithm
p.1060

Framework of Virtual Private Supply Chain Management
p.1064

Study on Approach to Fuzzy Product Configuration Based on Vague Customer Requirements
p.1068

Reconfigurable Manufacturing Execution Systems Based on Model-Driven Architecture
p.1072

HomeMaterials Science ForumMaterials Science Forum Vols. 532-533A Study on Multi-Colony Diploid Immune Algorithm...

A Study on Multi-Colony Diploid Immune Algorithm and Its Application in Manufacture

Abstract:

Manufacture cell scheduling (MCS) is a NP-hard problem, and the traditional optimization methods have their limitations when dealing with MCS. Immune algorithm that simulates the biologic immunity system is an intelligent optimization method and has potential to solve MCS. Multi-colony diploid immune algorithm (MDIA) is put forward to solve MCS. Firstly, the model of MCS is set up. Then, a typical benchmark problem is simulated with MDIA and other algorithms. Finally, simulation results show that MDIA is both effective and superior to other algorithms.